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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError Exception: DatasetGenerationCastError Message: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 13 new columns ({'2009', 'STATE', '2007', 'ANNUAL % GR', '2013', '2015', '2010', '2012', 'ANNUAL G.R', '2014', '2016', '2008', '2011'}) and 12 missing columns ({'POPULATION (2015)', 'POPULATION (2009)', 'AGE GROUP', 'POPULATION (2008)', 'proportion', 'POPULATION (2014)', 'POPULATION (2011)', 'POPULATION (2010)', 'POPULATION (2016)', 'POPULATION (2012)', 'POPULATION (2013)', 'POPULATION (2007)'}). This happened while the csv dataset builder was generating data using hf://datasets/electricsheepafrica/Nigeria-Population-and-Projections-by-state-2006-2016/population_projection.csv (at revision 8ad9577bfd100acb8dc00b92e3a05d65bcdd388b) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations) Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast STATE: string POPULATION (2006): int64 ANNUAL % GR: double ANNUAL G.R: double 2007: int64 2008: int64 2009: int64 2010: int64 2011: int64 2012: int64 2013: int64 2014: int64 2015: int64 2016: int64 -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1795 to {'AGE GROUP': Value('string'), 'POPULATION (2006)': Value('int64'), 'proportion': Value('float64'), 'POPULATION (2007)': Value('int64'), 'POPULATION (2008)': Value('int64'), 'POPULATION (2009)': Value('int64'), 'POPULATION (2010)': Value('int64'), 'POPULATION (2011)': Value('int64'), 'POPULATION (2012)': Value('int64'), 'POPULATION (2013)': Value('int64'), 'POPULATION (2014)': Value('int64'), 'POPULATION (2015)': Value('int64'), 'POPULATION (2016)': Value('int64')} because column names don't match During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single raise DatasetGenerationCastError.from_cast_error( datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset All the data files must have the same columns, but at some point there are 13 new columns ({'2009', 'STATE', '2007', 'ANNUAL % GR', '2013', '2015', '2010', '2012', 'ANNUAL G.R', '2014', '2016', '2008', '2011'}) and 12 missing columns ({'POPULATION (2015)', 'POPULATION (2009)', 'AGE GROUP', 'POPULATION (2008)', 'proportion', 'POPULATION (2014)', 'POPULATION (2011)', 'POPULATION (2010)', 'POPULATION (2016)', 'POPULATION (2012)', 'POPULATION (2013)', 'POPULATION (2007)'}). This happened while the csv dataset builder was generating data using hf://datasets/electricsheepafrica/Nigeria-Population-and-Projections-by-state-2006-2016/population_projection.csv (at revision 8ad9577bfd100acb8dc00b92e3a05d65bcdd388b) Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
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AGE GROUP
string | POPULATION (2006)
int64 | proportion
float64 | POPULATION (2007)
int64 | POPULATION (2008)
int64 | POPULATION (2009)
int64 | POPULATION (2010)
int64 | POPULATION (2011)
int64 | POPULATION (2012)
int64 | POPULATION (2013)
int64 | POPULATION (2014)
int64 | POPULATION (2015)
int64 | POPULATION (2016)
int64 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
0-4
| 22,594,967 | 0 | 23,329,699 | 24,088,323 | 24,871,615 | 25,680,378 | 26,515,439 | 27,377,655 | 28,267,908 | 29,187,110 | 30,136,202 | 31,116,156 |
5-9
| 20,005,380 | 0 | 20,655,905 | 21,327,584 | 22,021,103 | 22,737,175 | 23,476,531 | 24,239,929 | 25,028,151 | 25,842,004 | 26,682,322 | 27,549,964 |
10-14
| 16,135,950 | 0 | 16,660,651 | 17,202,414 | 17,761,793 | 18,339,362 | 18,935,713 | 19,551,455 | 20,187,219 | 20,843,657 | 21,521,441 | 22,221,265 |
15-19
| 14,899,419 | 0 | 15,383,911 | 15,884,157 | 16,400,671 | 16,933,979 | 17,484,630 | 18,053,187 | 18,640,231 | 19,246,365 | 19,872,209 | 20,518,404 |
20-24
| 13,435,079 | 0 | 13,871,954 | 14,323,036 | 14,788,785 | 15,269,679 | 15,766,211 | 16,278,889 | 16,808,238 | 17,354,800 | 17,919,135 | 18,501,820 |
25-29
| 12,211,426 | 0 | 12,608,511 | 13,018,508 | 13,441,838 | 13,878,933 | 14,330,241 | 14,796,225 | 15,277,361 | 15,774,143 | 16,287,079 | 16,816,694 |
30-34
| 9,467,538 | 0 | 9,775,399 | 10,093,270 | 10,421,478 | 10,760,359 | 11,110,259 | 11,471,537 | 11,844,562 | 12,229,718 | 12,627,398 | 13,038,009 |
35-39
| 7,331,755 | 0 | 7,570,165 | 7,816,328 | 8,070,496 | 8,332,928 | 8,603,894 | 8,883,671 | 9,172,546 | 9,470,815 | 9,778,782 | 10,096,763 |
40-44
| 6,456,470 | 0 | 6,666,418 | 6,883,194 | 7,107,018 | 7,338,120 | 7,576,738 | 7,823,114 | 8,077,503 | 8,340,163 | 8,611,364 | 8,891,384 |
45-49
| 4,591,293 | 0 | 4,740,590 | 4,894,743 | 5,053,907 | 5,218,248 | 5,387,932 | 5,563,134 | 5,744,034 | 5,930,815 | 6,123,671 | 6,322,797 |
50-54
| 4,249,219 | 0 | 4,387,393 | 4,530,060 | 4,677,366 | 4,829,463 | 4,986,505 | 5,148,653 | 5,316,075 | 5,488,940 | 5,667,427 | 5,851,717 |
55-59
| 2,066,247 | 0 | 2,133,436 | 2,202,810 | 2,274,440 | 2,348,399 | 2,424,763 | 2,503,611 | 2,585,022 | 2,669,080 | 2,755,872 | 2,845,486 |
60-64
| 2,450,286 | 0 | 2,529,963 | 2,612,231 | 2,697,175 | 2,784,880 | 2,875,437 | 2,968,939 | 3,065,482 | 3,165,164 | 3,268,087 | 3,374,357 |
65-69
| 1,151,048 | 0 | 1,188,477 | 1,227,124 | 1,267,027 | 1,308,227 | 1,350,767 | 1,394,691 | 1,440,043 | 1,486,869 | 1,535,219 | 1,585,140 |
70-74
| 1,330,597 | 0 | 1,373,865 | 1,418,539 | 1,464,667 | 1,512,294 | 1,561,470 | 1,612,245 | 1,664,671 | 1,718,802 | 1,774,693 | 1,832,402 |
75-79
| 579,838 | 0 | 598,693 | 618,161 | 638,262 | 659,017 | 680,446 | 702,573 | 725,419 | 749,007 | 773,363 | 798,511 |
80-84
| 760,053 | 0 | 784,768 | 810,287 | 836,635 | 863,841 | 891,930 | 920,934 | 950,880 | 981,801 | 1,013,726 | 1,046,690 |
85+
| 715,225 | 0 | 738,482 | 762,496 | 787,290 | 812,891 | 839,324 | 866,617 | 894,797 | 923,894 | 953,937 | 984,956 |
TOTAL
| 140,431,790 | null | 144,998,281 | 149,713,264 | 154,581,566 | 159,608,173 | 164,798,232 | 170,157,060 | 175,690,143 | 181,403,148 | 187,301,926 | 193,392,517 |
null | 2,845,380 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,178,950 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,902,051 | null | null | null | null | null | null | null | null | null | null | null |
null | 4,177,828 | null | null | null | null | null | null | null | null | null | null | null |
null | 4,653,066 | null | null | null | null | null | null | null | null | null | null | null |
null | 1,704,515 | null | null | null | null | null | null | null | null | null | null | null |
null | 4,253,641 | null | null | null | null | null | null | null | null | null | null | null |
null | 4,171,104 | null | null | null | null | null | null | null | null | null | null | null |
null | 2,892,988 | null | null | null | null | null | null | null | null | null | null | null |
null | 4,112,445 | null | null | null | null | null | null | null | null | null | null | null |
null | 2,176,947 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,233,366 | null | null | null | null | null | null | null | null | null | null | null |
null | 2,398,957 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,267,837 | null | null | null | null | null | null | null | null | null | null | null |
null | 2,365,040 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,927,563 | null | null | null | null | null | null | null | null | null | null | null |
null | 4,361,002 | null | null | null | null | null | null | null | null | null | null | null |
null | 6,113,503 | null | null | null | null | null | null | null | null | null | null | null |
null | 9,401,288 | null | null | null | null | null | null | null | null | null | null | null |
null | 5,801,584 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,256,541 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,314,043 | null | null | null | null | null | null | null | null | null | null | null |
null | 2,365,353 | null | null | null | null | null | null | null | null | null | null | null |
null | 9,113,605 | null | null | null | null | null | null | null | null | null | null | null |
null | 1,869,377 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,954,772 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,751,140 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,460,877 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,416,959 | null | null | null | null | null | null | null | null | null | null | null |
null | 5,580,894 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,206,531 | null | null | null | null | null | null | null | null | null | null | null |
null | 5,198,716 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,702,676 | null | null | null | null | null | null | null | null | null | null | null |
null | 2,294,800 | null | null | null | null | null | null | null | null | null | null | null |
null | 2,321,339 | null | null | null | null | null | null | null | null | null | null | null |
null | 3,278,873 | null | null | null | null | null | null | null | null | null | null | null |
null | 1,406,239 | null | null | null | null | null | null | null | null | null | null | null |
null | 140,431,790 | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null |
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